Software Engineer, R&D

• Contribute to training and adapting of existing machine learning architectures for robot learning and visual scene understanding
• Contribute to the development and continuous improvement of Berkshire Grey’s robot policy learning data collection application
• Determine what demonstrations, robot logs, sensor data, annotations, and failure cases are suitable for fine-tuning robot foundation models when applied to new tasks, embodiments, or environments
• Stay abreast of the latest advancements in robotics and related fields, evaluating applicability to our challenges
• Collaborate with external research partners to find solutions for BG’s problem space
• Assist with mentorship of more junior engineers or interns
• Quickly prototype solutions, creating demos for stakeholders and visitors
• Own solutions from the prototype stage to robust, production-ready features

• Master’s degree in Robotics, Machine Learning, Computer Vision, Computer Science or a closely related field
• Experience in software development in robotics or automation roles
• Strong development expertise in Python and C++
• Experience with modern software engineering tooling and workflows including Git and CI/CD
• Experience in working with ROS or ROS2
• Experience in designing and implementing software and algorithms for real robots, including troubleshooting of real robot systems
• Demonstrated ability to:
• Work in a fast-paced environment with changing priorities
• Determine and communicate justification of technical priorities
• Rapidly prototype and iterate on solutions to challenging problems
• Work independently on a variety of projects while maintaining focus
• Strong verbal and written communication skills, capable of explaining complex ideas clearly and concisely to both technical and non-technical stakeholders

Preferred Qualifications: *

• 3+ years of relevant software engineering experience in robotics or automation roles

• Demonstrated experience with one or multiple of: o Computer vision applied to robotic manipulation problems, such as grasp estimation, object detection/segmentation, or anomaly detection o Motion planning & optimization for single or bimanual manipulation o Imitation learning for manipulation or other real world use cases

• Experience with: o Common deep learning frameworks such as PyTorch o Robot simulators (e.g. Isaac Sim, MuJoCo) o Robot learning frameworks (e.g. Orbit / Isaac Labs, OpenAI Gym) o Robotic sensors, such as RGB cameras and depth sensors o Combining model-based and data-driven approaches o Docker, cloud computing, or similar applications o Parallel/distributed systems and asynchronous/concurrent programming o Production robot deployment o Agentic coding tools Possessing some of these preferred qualifications is great to have but not required and should not discourage applicants from applying.

Berkshire Grey is a leader in the field of AI and robotics, providing innovative solutions for e-commerce, retail replenishment, package handling, and logistics operations. Our technology automates complex warehouse tasks such as picking, packing, sorting, and trailer unloading.

As part of the Research & Advanced Development group, you will develop new approaches to solving a variety of challenging manipulation problems for real-world robotics systems, allowing them to understand and interact with their environment in unprecedented ways. This position offers a unique opportunity to work at the cutting edge of robotics applied to real-world challenges. Your work will span the full range of this robotics stack, from robot drivers to the multi-robot orchestration system running in Berkshire Grey’s in-house robot proving ground.